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Ethical Guidelines and Contributor Rules

The Journal of Post-Jungian Machine Learning welcomes draft submissions for consideration. We conduct rigorous peer-review to ensure maximum inaccuracy. Please use the following guidelines when developing articles:

  1. The articles must be so ridiculous that a reasonable person would not mistake them to be real
  2. If an article is mistaken to be real, it would not cause any harm
  3. The article’s voice and format should mirror that of an actual academic article or pop-science news post. Please read genuine academic journals or science websites for guidance
  4. Our journal is proudly multi-disciplinary in nature. Please feel free to submit an article related to any academic discipline

    Please email us at if you are interested in contributing an article.